The Impact of Using Generative Pre-Trained Transformer (GPT)on Advancing Creative Writing Skills in Literature Course for Undergraduate Students in Algeria
Metadatos
Mostrar el registro completo del ítemEditorial
Universidad de Granada
Materia
Creative Writing Course Experimental Study GPT in Education Figures of Language Mixed Methods Narrative Development
Fecha
2024-01-01Referencia bibliográfica
Wafa Nouari, Samia Mouas, Mohamed El Amine Hraki (2024). The Impact of Using Generative Pre- Trained Transformer (GPT)on Advancing Creative Writing Skills in Literature Course for Undergraduate Students in Algeria. Journal for Educators, Teachers and Trainers,Vol. 15(1).231- 241. DOI: 10.47750/jett.2024.15.01.027
Resumen
The present study investigates the impact of Generative Pre-trained Transformer (GPT) technology on
creative writing skills (CWS) among undergraduate literature students in Algeria. Using a mixed-
methods approach, the study explores how integrating GPT into literature courses influences
students’ ability to employ figures of language and literary devices in their narratives. The findings
revealed that the use of GPT significantly enhanced the ability to describe settings in creative writing
(CW).Qualitatively, GPT enriched narrative development and offered new perspectives in storytelling.
The study suggests that usingGPT as a pedagogical tool can provide qualitative educational benefits,
encouraging further research into AI-assisted learning strategies in higher education.